15 October 2012 Analysis of oversampling for noise reduction of UV image
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Noise pollution is often introduced during image data acquisition and transmission process. Oversampling technology and algorithm used to improved moving average are applied to reduce noise in UV image project. Both theoretical analysis and Matlab simulations results show that this technology is effective. Considering a virtual signal consisting of Gaussian noise, the new algorithm make the signal’s mean square error (MSE) reduces from 0.01 to 0.0038, which are better than traditional algorithm.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fei Liu, Fei Liu, Yonggang Yuan, Yonggang Yuan, Nengbin Cai, Nengbin Cai, Baisong Ye, Baisong Ye, Xiangyang Li, Xiangyang Li, } "Analysis of oversampling for noise reduction of UV image", Proc. SPIE 8419, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy, 841913 (15 October 2012); doi: 10.1117/12.975669; https://doi.org/10.1117/12.975669


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